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首页> 外文期刊>IEEE Robotics and Automation Letters >Polygon-Based Random Tree Search Planning for Variable Geometry Truss Robot
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Polygon-Based Random Tree Search Planning for Variable Geometry Truss Robot

机译:基于多边形的随机树搜索规划变量几何桁架机器人

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摘要

This letter proposes the use of a polygon-based random tree path planning algorithm for a variable geometry topology system (VGT). By combining a path planning algorithm and our previous non-impact locomotion algorithm, the proposed VGT system reaches an objective point. The proposed path planning algorithm provides the desired set of support polygons with a modified rapid random tree algorithm. The algorithm can significantly reduce distortion of the VGT system while moving by limiting the deformation of the desired support polygon. With this algorithm feature, constraint violations of the system were significantly reduced with respect to using a normal rapid random tree algorithm for path planning. The performance of the algorithm was validated using the simulation results.
机译:此字母建议使用基于多边形的随机树路径规划算法进行变量几何拓扑系统(VGT)。通过组合路径规划算法和我们先前的非冲击机动算法,所提出的VGT系统达到客观点。所提出的路径规划算法提供了具有修改的快速随机树算法的所需支持多边形集。通过限制所需支持多边形的变形,该算法可以显着降低VGT系统的失真。利用该算法特征,对于使用普通快速随机树算法进行路径规划,系统的约束违规显着减少。使用模拟结果验证了算法的性能。

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